Flow Cytometry in Acute Myeloid Leukemia (AML): A Critical Tool for Accurate Diagnosis, Classification, and Monitoring
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Updated: Jan 14, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Fabienne Lucas1, Sindhu Cherian1, Michael A Linden2
1Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Insights
Flow cytometry is vital for diagnosing acute myeloid leukemia (AML), offering precise immunophenotypic data for classification and monitoring. This technology aids in assessing measurable residual disease, predicting relapse, and guiding treatment decisions for better patient outcomes.
Area of Science:
- Hematopathology
- Clinical diagnostics
- Immunophenotyping
Background:
- Flow cytometry is a key tool in hematopathology for identifying and tracking hematolymphoid neoplasms.
- Acute myeloid leukemia (AML) classification is complex, relying on genomic, morphologic, and immunophenotypic data.
- Flow cytometry provides rapid diagnostic and prognostic insights for AML, complementing cytogenetic and molecular data.
Purpose of the Study:
- To review the role of flow cytometry in diagnosing AML.
- To explore its application in monitoring disease progression and measurable residual disease (MRD).
- To detail how flow cytometry aids in cell lineage establishment and marker identification.
Main Methods:
- Review of current literature on flow cytometry in AML diagnosis and management.
- Analysis of flow cytometry's role in identifying immunophenotypic markers.
- Examination of flow cytometry patterns and strategies for AML subtyping.
Main Results:
- Flow cytometry is essential for rapid AML diagnosis and classification.
- It effectively identifies cell lineage and predicts genetic alterations in specific AML subtypes.
- Measurable residual disease assessment via flow cytometry is a key predictor of relapse and outcomes.
Conclusions:
- Flow cytometry is indispensable for accurate AML diagnosis, classification, and monitoring.
- Its quantitative data optimizes treatment and post-therapy surveillance.
- Understanding flow cytometry is crucial for laboratory medicine professionals involved in AML care.
Background:
Flow cytometry is a crucial diagnostic tool in hematopathology. It supports the identification and follow-up of hematolymphoid neoplasms by providing detailed immunophenotypic data and quantification, and is applicable to various specimen types.
Content:
Classification and management of acute myeloid leukemia (AML), the most common type of acute leukemia in adults, are complex and evolving, guided by International Consensus Classification and World Health Organization 5th edition diagnostic frameworks, as well as the clinically oriented European LeukemiaNet recommendations. These systems stratify AML based on genomic, morphologic, and immunophenotypic features, informing treatment and outcomes. While cytogenetic and molecular data are central to subclassification, flow cytometry remains essential for rapid diagnostic and prognostic insights. This review explores the role of flow cytometry in diagnosing AML, monitoring disease progression, and assessing measurable residual disease, a key relapse and/or outcome predictor. It details how flow cytometry establishes cell lineage, identifies immunophenotypic markers, and predicts genetic alterations in certain subtypes of AML. Examples of analysis strategies and common flow cytometry patterns, as well as references to in-depth recent review articles on the biology, diagnosis and management of AML in the broader context of myeloid malignancies are provided.
Summary:
Flow cytometry is indispensable in the diagnosis, classification, and monitoring of AML. Its ability to provide precise, quantitative information enables early and accurate diagnosis, optimizes treatment, and enhances posttherapy monitoring. Although sophisticated flow cytometry-based approaches may be limited to specialized laboratories, laboratory medicine professionals benefit from a thorough understanding of this technology.
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